Lead AI Data Analyst

AI Data Analyst - Lead We are looking for an experience Lead AI Data Analyst for our client. He/she should have at least 8 years of proven experience in data analytics, Power BI, AI, and hands on leading end-to-end technical delivery. The ideal person should be skilled at translating business needs into actionable insights, driving adoption of enterprise-scale analytics and AI solutions across the organization. Responsibilities Data & Analytics Leadership Drive the development and implementation of enterprise-level analytics solutions, including dashboards and reporting layers Establish and maintain best practices for data modelling, data quality, and reporting standards Oversee the design and review of data pipelines, transformations, and analytical deliverables AI & Advanced Analytics Lead initiatives involving AI-driven solutions such as automation, predictive analytics, and intelligent data tools Partner with stakeholders to translate business requirements into scalable analytics and AI use cases Ensure outputs are accurate, reliable, and suitable for operational deployment BI & Self-Service Analytics Enablement Champion the adoption of business intelligence tools, including governance, performance tuning, and efficient data usage Promote self-service analytics capabilities across business units while ensuring consistency and control Support readiness for AI-assisted analytics and next-generation BI capabilities Team Leadership & Development Provide guidance and mentorship to analytics and data professionals Set priorities, review deliverables, and support resolution of complex technical challenges Drive continuous improvement in team capabilities across analytics, AI, and data practices Stakeholder & Vendor Management Act as a key liaison between technical teams and business stakeholders Translate business needs into actionable technical plans Manage external partners to ensure quality delivery within timelines Communicate progress, risks, and outcomes in a clear and structured manner Requirement Degree in a relevant field such as Computer Science, Data Analytics, Engineering, or Information Systems Approximately 5–10 years of relevant experience in data, analytics, or AI roles, including leadership exposure Strong hands-on experience with modern BI tools (e.g., dashboarding, data modelling, performance tuning, governance) Good understanding of data integration, data modelling, and analytics platforms